pedrodiamel / nettutorial

Related projects: ⓘ

• lanpa / tensorboard-pytorch-examples
  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
  ☆83Updated 5 years ago
• ducha-aiki / LSUV-pytorch
  Simple implementation of the LSUV initialization in PyTorch
  ☆58Updated 8 months ago
• karanchahal / SaliencyMapper
  Pytorch implementation of Real Time Image Saliency for Black Box Classifiers https://arxiv.org/abs/1705.07857
  ☆57Updated 4 years ago
• moskomule / shampoo.pytorch
  An implementation of shampoo
  ☆73Updated 6 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 5 years ago
• lballes / msvag
  TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.
  ☆45Updated 6 years ago
• michaelisc / cluttered-omniglot
  Cluttered Omniglot dataset and models
  ☆48Updated 5 years ago
• kevinzakka / vae-pytorch
  ☆63Updated this week
• leonardblier / alrao
  Implementation of "Learning with Random Learning Rates" in PyTorch.
  ☆102Updated 4 years ago
• noahgolmant / pytorch-lr-dropout
  "Learning Rate Dropout" in PyTorch
  ☆34Updated 4 years ago
• uber-research / loss-change-allocation
  ☆61Updated last year
• JiJingYu / delta_orthogonal_init_pytorch
  Delta Orthogonal Initialization for PyTorch
  ☆18Updated 6 years ago
• vinayprabhu / Disentanglement_NEURIPS_2019
  On disentangling the menagerie of disentanglement papers
  ☆27Updated 4 years ago
• jotaf98 / easy-receptive-fields-pytorch
  Minimal API for receptive field calculation in PyTorch
  ☆66Updated 2 years ago
• learning-luke / pytorch-experiments-template
  A pytorch based classification experiments template
  ☆46Updated 3 years ago
• goodfeli / forgetting
  Repository of code for the experiments for the ICLR submission "An Empirical Investigation of Catastrophic Forgetting in Gradient-Based N…
  ☆65Updated 10 years ago
• moskomule / cca.pytorch
  CCAs for looking into DNNs
  ☆69Updated 4 years ago
• aleju / LossAccPlotter
  Plot loss and accuracy of neural networks over time
  ☆62Updated 7 years ago
• adler-j / bwgan
  Code for the paper "Banach Wasserstein GAN"
  ☆31Updated 5 years ago
• pat-coady / tiny_imagenet
  TensorFlow Deep CNN for Tiny ImageNet Problem
  ☆57Updated 7 years ago
• robertomest / convnet-study
  ☆35Updated 7 years ago
• brain-research / conv-sv
  The Singular Values of Convolutional Layers
  ☆71Updated 5 years ago
• yulongwang12 / visual-attribution
  Pytorch Implementation of recent visual attribution methods for model interpretability
  ☆144Updated 4 years ago
• eladhoffer / bigBatch
  Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…
  ☆148Updated 7 years ago
• felix-laumann / Bayesian_CNN
  ☆97Updated this week
• maitek / waae-pytorch
  Wasserstein Adversarial Autoencoder Pytorch
  ☆27Updated 6 years ago
• tianyu-tristan / Visual-Attention-Model
  ☆42Updated 7 years ago
• rdevon / cortex
  A machine learning library for PyTorch
  ☆92Updated 2 years ago
• ruthcfong / net2vec
  Code for Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks
  ☆31Updated 6 years ago
• FelixAbrahamsson / mixmatch-pytorch
  An implementation of MixMatch with PyTorch
  ☆37Updated 3 years ago